Social Network Types and Acute Stroke Preparedness Behavior

Objectives: Presence of informal social networks has been associated with favorable health and behaviors, but whether different types of social networks impact on different health outcomes remains largely unknown. We examined the associations of different social network types (marital dyad, household, friendship, and informal community networks) with acute stroke preparedness behavior. We hypothesized that marital dyad best matched the required tasks and is the most effective network type for this behavior. Methods: We collected in-person interview and medical record data for 1,077 adults diagnosed with stroke and transient ischemic attack. We used logistic regression analyses to examine the association of each social network with arrival at the emergency department (ED) within 3 h of stroke symptoms. Results: Adjusting for age, race-ethnicity, education, gender, transportation type to ED and vascular diagnosis, being married or living with a partner was significantly associated with early arrival at the ED (odds ratio = 2.0, 95% confidence interval: 1.2–3.1), but no significant univariate or multivariate associations were observed for household, friendship, and community networks. Conclusions: The marital/partnership dyad is the most influential type of social network for stroke preparedness behavior

Dementia after Stroke Increases the Risk of Long-Term Stroke Recurrence

Background: Although risk factors for first stroke have been identified, the predictors of long-term stroke recurrence are less well understood. We performed the present study to determine whether dementia diagnosed three months after stroke onset is an independent risk factor for long-term stroke recurrence. Methods: We examined 242 patients (age = 72.0 ± 8.7 years) hospitalized with acute ischemic stroke who had survived the first three months without recurrence and followed them to identify predictors of long-term stroke recurrence. We diagnosed dementia three months after stroke using modified DSM-III-R criteria based on neuropsychological and functional assessments. The effects of conventional stroke risk factors and dementia status on survival free of recurrence were estimated using Kaplan-Meier analyses, and the relative risks (RR) of recurrence were calculated using Cox proportional hazards models. Results: Dementia (RR = 2.71, 95% CI = 1.36 to 5.42); cardiac disease (RR = 2.18, CI = 1.15 to 4.12); and sex, with women at higher risk (RR = 2.03, CI = 1.01 to 4.10), were significant independent predictors of recurrence, while education (RR = 1.90, CI = 0.77 to 4.68), admission systolic blood pressure >160 mm Hg (RR = 1.80, CI = 0.94 to 3.44) and alcohol intake exceeding 160 grams per week (RR = 1.86, CI = 0.79 to 4.38) were weakly related. Conclusions: Our results suggest that dementia significantly increases the risk of long-term stroke recurrence, with additional independent contributions by cardiac disease and sex. Cognitive impairment may be a surrogate marker for multiple vascular risk factors and larger infarct volume that may serve to increase the risk of recurrence. Alternatively, less aggressive medical management of stroke patients with cognitive impairment or noncompliance of such patients with medical therapy may be bases for an increased rate of stroke recurrence

Frequency and Clinical Determinants of Dementia after Ischemic Stroke

Objective: To investigate the frequency and clinical determinants of dementia after ischemic stroke. Methods: The authors administered neurologic, neuropsychological, and functional assessments to 453 patients (age 72.0 ± 8.3 years) 3 months after ischemic stroke. They diagnosed dementia using modified Diagnostic and Statistical Manual of Mental Disorders, 3rd ed., revised criteria requiring deficits in memory and two or more additional cognitive domains as well as functional impairment. Results: The authors diagnosed dementia in 119 of the 453 patients (26.3%). Regarding dementia subtypes, 68 of the 119 patients (57.1%) were diagnosed with vascular dementia, 46 patients (38.7%) were diagnosed with AD with concomitant stroke, and 5 patients (4.2%) had dementia for other reasons. Logistic regression suggested that dementia was associated with a major hemispheral stroke syndrome (OR 3.0), left hemisphere (OR 2.1) and right hemisphere (OR 1.8) infarct locations versus brainstem/cerebellar locations, infarcts in the pooled anterior and posterior cerebral artery territories versus infarcts in other vascular territories (OR 1.7), diabetes mellitus (OR 1.8), prior stroke (OR 1.7), age 80 years or older (OR 12.7) and 70 to 79 years (OR 3.9) versus 60 to 69 years, 8 or fewer years of education (OR 4.1) and 9 to 12 years of education (OR 3.0) versus 13 or more years of education, black race (OR 2.6) and Hispanic ethnicity (OR 3.1) versus white race, and northern Manhattan residence (OR 1.6). Conclusions: Dementia is frequent after ischemic stroke, occurring in one-fourth of the elderly patients in the authors’ cohort. The clinical determinants of dementia include the location and severity of the presenting stroke, vascular risk factors such as diabetes mellitus and prior stroke, and host characteristics such as older age, fewer years of education, and nonwhite race/ethnicity. The results also suggest that concomitant AD plays an etiologic role in approximately one-third of cases of dementia after stroke

ISLES 2016 and 2017-Benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI

Performance of models highly depend not only on the used algorithm but also the data set it was applied to. This makes the comparison of newly developed tools to previously published approaches difficult. Either researchers need to implement others' algorithms first, to establish an adequate benchmark on their data, or a direct comparison of new and old techniques is infeasible. The Ischemic Stroke Lesion Segmentation (ISLES) challenge, which has ran now consecutively for 3 years, aims to address this problem of comparability. ISLES 2016 and 2017 focused on lesion outcome prediction after ischemic stroke: By providing a uniformly pre-processed data set, researchers from all over the world could apply their algorithm directly. A total of nine teams participated in ISLES 2015, and 15 teams participated in ISLES 2016. Their performance was evaluated in a fair and transparent way to identify the state-of-the-art among all submissions. Top ranked teams almost always employed deep learning tools, which were predominately convolutional neural networks (CNNs). Despite the great efforts, lesion outcome prediction persists challenging. The annotated data set remains publicly available and new approaches can be compared directly via the online evaluation system, serving as a continuing benchmark (www.isles-challenge.org).Fundacao para a Ciencia e Tecnologia (FCT), Portugal (scholarship number PD/BD/113968/2015). FCT with the UID/EEA/04436/2013, by FEDER funds through COMPETE 2020, POCI-01-0145-FEDER-006941. NIH Blueprint for Neuroscience Research (T90DA022759/R90DA023427) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB) of the National Institutes of Health under award number 5T32EB1680. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. PAC-PRECISE-LISBOA-01-0145-FEDER-016394. FEDER-POR Lisboa 2020-Programa Operacional Regional de Lisboa PORTUGAL 2020 and Fundacao para a Ciencia e a Tecnologia. GPU computing resources provided by the MGH and BWH Center for Clinical Data Science Graduate School for Computing in Medicine and Life Sciences funded by Germany's Excellence Initiative [DFG GSC 235/2]. National Research National Research Foundation of Korea (NRF) MSIT, NRF-2016R1C1B1012002, MSIT, No. 2014R1A4A1007895, NRF-2017R1A2B4008956 Swiss National Science Foundation-DACH 320030L_163363

Impaired Carbohydrate Digestion and Transport and Mucosal Dysbiosis in the Intestines of Children with Autism and Gastrointestinal Disturbances

Gastrointestinal disturbances are commonly reported in children with autism, complicate clinical management, and may contribute to behavioral impairment. Reports of deficiencies in disaccharidase enzymatic activity and of beneficial responses to probiotic and dietary therapies led us to survey gene expression and the mucoepithelial microbiota in intestinal biopsies from children with autism and gastrointestinal disease and children with gastrointestinal disease alone. Ileal transcripts encoding disaccharidases and hexose transporters were deficient in children with autism, indicating impairment of the primary pathway for carbohydrate digestion and transport in enterocytes. Deficient expression of these enzymes and transporters was associated with expression of the intestinal transcription factor, CDX2. Metagenomic analysis of intestinal bacteria revealed compositional dysbiosis manifest as decreases in Bacteroidetes, increases in the ratio of Firmicutes to Bacteroidetes, and increases in Betaproteobacteria. Expression levels of disaccharidases and transporters were associated with the abundance of affected bacterial phylotypes. These results indicate a relationship between human intestinal gene expression and bacterial community structure and may provide insights into the pathophysiology of gastrointestinal disturbances in children with autism

Lipoprotein-Associated Phospholipase A2 Activity and Risk of Recurrent Stroke

Mass levels of lipoprotein-associated phospholipase A(2) (Lp-PLA(2)), a leukocyte-derived enzyme involved in the metabolism of low-density lipoprotein to pro-inflammatory mediators, are associated with prognosis after stroke. Lp-PLA(2) mass correlates only moderately with levels of Lp-PLA(2) activity. The relationship of Lp-PLA(2) activity to risk of stroke recurrence is unknown. We hypothesized that Lp-PLA(2) activity levels would predict risk of recurrence. In the population-based Northern Manhattan Stroke Study, first ischemic stroke patients >or=40 years were followed for recurrent stroke. Levels of Lp-PLA(2) activity were assessed in 467 patients, and categorized by quartile. Cox proportional hazard models were used to calculate hazard ratios (HR) and 95% confidence intervals (95% CI) for risk of recurrent stroke associated with marker quartiles after adjusting for demographics, vascular risk factors, and high-sensitivity C-reactive protein (hsCRP). Mean age was 68.9 +/- 12.7 years; 54.6% were women; 53.3% Hispanic, 27.2% black, and 17.8% white. Median follow-up was 4.0 years, and there were 80 recurrent strokes. Compared to the lowest quartile of Lp-PLA(2) activity, those in the highest had an increased risk of recurrent stroke (adjusted HR 2.54, 95% CI 1.01-6.39). Stroke patients with Lp-PLA(2) activity levels in the highest quartile, compared to those in the lowest quartile, had an increased risk of recurrence after first ischemic stroke. Further studies are warranted to determine whether this biomarker has clinical utility in determining high-risk populations of stroke survivors, and whether anti-inflammatory strategies that reduce levels of activity of Lp-PLA(2) reduce the risk of stroke recurrence

Reported alcohol consumption and cognitive decline: the Northern Manhattan Study

BACKGROUND: Moderate alcohol intake may slow cognitive decline and both vascular and neurodegenerative mechanisms have been implicated. METHODS: We examined reported alcohol intake and cognitive decline in a community-based cohort of Hispanic, black, and white individuals (N=1,428). The role of the APOE-4 allele as a modifier was also studied. RESULTS AND CONCLUSIONS: Reported drinking was as follows: 300 participants (21%) were “never” drinkers, 622 “past” drinkers (44%), 145 (10%) reported taking less than one drink weekly, 330 (23%) one drink weekly up to two daily, and 31 (2%) more than two drinks daily. A positive relationship was seen between reported alcohol intake and cognition. Drinking less than one drink a week (P=0.09), between one drink weekly up to two drinks daily (P=0.001), and more than two drinks daily (P=0.003) were associated with less cognitive decline on the modified Telephone Interview for Cognitive Status (TICS-m) compared to never drinkers. This dose-response relationship was not modified by the presence of an APOE-4 allele in a subsample

High-sensitivity C-reactive protein, lipoprotein-associated phospholipase A2, and outcome after ischemic stroke

Inflammatory markers have been associated with ischemic stroke risk and prognosis after cardiac events. Their relationship to prognosis after stroke is unsettled. A population-based study of stroke risk factors in 467 patients with first ischemic stroke was undertaken to determine whether levels of high-sensitivity C-reactive protein (hs-CRP) and lipoprotein-associated phospholipase A(2) (Lp-PLA2) predict risk of stroke recurrence, other vascular events, and death. Levels of Lp-PLA2 and hs-CRP were weakly correlated (r = 0.09; P = .045). High-sensitivity CRP, but not Lp-PLA2, was associated with stroke severity. After adjusting for age, sex, race and ethnicity, history of coronary artery disease, diabetes mellitus, hypertension, hyperlipidemia, atrial fibrillation, smoking, and hs-CRP level, compared with the lowest quartile of Lp-PLA2, those in the highest quartile had an increased risk of recurrent stroke (adjusted hazard ratio, 2.08; 95% confidence interval, 1.04-4.18) and of the combined outcome of recurrent stroke, MI, or vascular death (adjusted hazard ratio, 1.86; 95% confidence interval, 1.01-3.42). After adjusting for confounders, hs-CRP was not associated with risk of recurrent stroke or recurrent stroke, myocardial infarction, or vascular death but was associated with risk of death (adjusted hazard ratio, 2.11; 95% confidence interval, 1.18-3.75). Inflammatory markers are associated with prognosis after first ischemic stroke and may offer complementary information. Lipoprotein-associated phospholipase A(2) may be a stronger predictor of recurrent stroke risk. Levels of hs-CRP, an acute-phase reactant, increase with stroke severity and may be associated with mortality to a greater degree than recurrence

Risk Factors for Early Recurrence After Ischemic Stroke The Role of Stroke Syndrome and Subtype

Background and Purpose —Information regarding risk factors for early recurrence is limited. Our aim was to identify the clinical predictors of early recurrence after ischemic stroke. Methods —We prospectively examined 297 patients (mean age, 72.0±8.4 years) hospitalized with ischemic stroke to identify recurrent strokes occurring within 90 days of the index stroke. Survival free of recurrence was estimated using Kaplan-Meier analysis stratified by demographic variables; vascular risk factors; stroke syndrome, subtype, vascular territory, and severity; scores on the Barthel Index and Mini-Mental State Examination during hospitalization; blood pressure on admission; and selected laboratory data. We estimated the relative risk (RR) of early recurrence associated with those variables using proportional hazards analysis. Results —We identified 22 recurrent events in the first 90 days after the index stroke, resulting in an early stroke recurrence rate of 7.4%, and death occurred immediately after recurrence in 6 of the 22 patients. A major hemispheric stroke syndrome (RR=2.9; 95% confidence interval [CI]=1.2 to 7.1), atherothrombotic stroke mechanism (RR=3.3; CI=1.3 to 8.3), and atrial fibrillation (RR=2.2; CI=0.8 to 6.1) were independent predictors of early recurrence, after adjustment for demographic variables. Conclusions —Early recurrence was frequent and resulted in increased mortality. Attention to the clinical features of the index stroke, including the presenting syndrome and the ischemic mechanism, and the recognition of atrial fibrillation may help in the selection of patients for the initiation of targeted interventions to prevent early recurrence and subsequent mortality. </jats:p